As AI workloads extend across nearly every technology sector, systems must move more data, use memory more efficiently, and respond more predictably than traditional design methodologies allow. These ...

There's a gap between ephemeral prompt caching (5min/1h TTL) and fine-tuning. For apps with a large, stable system context (~50-100K tokens) and moderate but irregular traffic, neither option fits ...

Going to the database repeatedly is slow and operations-heavy. Caching stores recent/frequent data in a faster layer (memory) so we don’t need database operations again and again. It’s most useful for ...

Over time, Android apps store temporary files—known as cache data—to help them load faster and run more smoothly. While this cache can improve performance initially, it can eventually build up, take ...

Is your feature request related to a problem? Please describe. Before calling the LLM, the llm_agent sends 2 to 3 HTTP requests to the MCP server. Since a ListToolsRequest is triggered with every LLM ...

I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen Best laptop cooling pads Best flip ...

Ever noticed your computer acting sluggish or warning you about low storage? Temporary files could be the sneaky culprit. Windows creates these files while installing apps, loading web pages, or ...

Semantic caching in LLM (Large Language Model) applications optimizes performance by storing and reusing responses based on semantic similarity rather than exact text matches. When a new query arrives ...

Our Hackaday colleague [Bil Herd] is known for being the mind behind the Commodore 128, a machine which famously had both a 6502 and a Z80 processor on board. The idea of a machine which could do the ...

Uber engineers have updated the CacheFront architecture to serve over 150 million reads per second while ensuring stronger consistency. The update addresses stale reads in latency-sensitive services ...